以鏈結資料發展電影資訊系統之研究

電影是人們普遍的休閒活動之一，電影資訊也是人們經常透過網際網路查找的資訊之一，然而網際網路上龐大的電影資訊卻也有著資訊分散、重複性和不一致的問題。鏈結資料是實踐語意網的最佳實務，其基於資料的機制有助於不同系統間的資料交換與整合。本研究運用內容管理系統Drupal建構一套融入鏈結資料精神，以IMDb的電影、導演和演員資料為基礎，整合DBpedia、LinkedMDB、DBtune，以及大英圖書館等鏈結資料來源的電影資訊系統，使電影資訊內容更加豐富且提升鏈結資料的閱讀性。最後並藉由系統使用性量表來評估該系統的使用性，了解使用者對本系統的接受度，評估結果顯示本系統的使用性是可接受的。

關鍵字

語意網；鏈結資料；使用性量表

並列摘要

Movie watching is a common leisure activity, and thus people seek for information about movies from the Internet very often. However, for such a large data, there are problems derived like information scattering, duplication and inconsistency. Linked Data is a best practice for Semantic Web, and the data-driven technique helps the exchange and integration of data among systems. This study creates a linked data-based movie information system by the content management system Drupal. This system exploits the information on movies, directors, and actors from IMDb, and integrates the information from several linked-data producers, including DBpedia, LinkedMDB, DBtune, and British Library. In this manner, the system provides rich movie information and enhance readability of linked data. Finally, this study evaluates this linked data-based movie information system by the System Usability Scale (SUS) to understand user usability and acceptance of the system, and the SUS evaluations show that this system's usability is acceptable.

並列關鍵字

Semantic Web ； Linked Data ； RDF ； SPARQL ； System Usability Scale

參考文獻

Berners-Lee, T. (2006). Design issues of Linked Data. Available at: http://www.w3.org/DesignIssues/LinkedData.html

Google Scholar

Linked Data. (n.d.). What is the relationship between Linked Data and the Semantic Web? Frequently Asked Questions (FAQs). Retrieved from http://linkeddata.org/faq